The integrated landscape assessment project

USDA Forest Service - General Technical Report PNW-GTR

Volumn , Issue 869, 2012, Pages 57-71

  Hemstrom, Miles A ^a,b   Salwasser, Janine ^b   Halofsky, Joshua ^c   Kagan, Jimmy ^d   Comfort, Cyndi ^b  

^a PACIFIC NORTHWEST RESEARCH STATION   (United States)

^b OREGON STATE UNIVERSITY   (United States)

^c Washington Department of Natural Resources   (United States)

^d PORTLAND STATE UNIVERSITY   (United States)

Author keywords

Decision support; Knowledge discovery; Landscape assessment; Science delivery; Vegetation models

Indexed keywords

DECISION SUPPORT SYSTEM; ECOLOGICAL MODELING; GIS; INTEGRATED APPROACH; LAND MANAGEMENT; LANDOWNERSHIP; LANDSCAPE PLANNING; POLICY MAKING; PRIORITIZATION; RESOURCE MANAGEMENT; SHRUBLAND; WATER SUPPLY; WATERSHED; WILDFIRE; WILDLIFE MANAGEMENT; WOODLAND;

ARIZONA; NEW MEXICO; OREGON; UNITED STATES; WASHINGTON [UNITED STATES];

EID: 84873167972     PISSN: 08874840     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Apex Resource Management Solutions Ltd. 2012. Path Landscape Model. http://www.apexrms.com/path. (14 March 2012)
2. Bachelet, D., Lenihan, J.M.; Daly, C.; Neilson, R.P.; Ojima, D.S.; Parton, W.J. 2001. MC, a Dynamic Vegetation Model for estimating the distribution of vegetation and associated carbon and nutrient fluxes, Technical Documentation Version 1.0. Gen. Tech. Rep. PNW-GTR-508. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Station. 95 p.
3. Barbour, R.J., Singleton, R.; et al. 2007. Evaluating forest product potential as part of planning ecological restoration treatments on forested landscapes. Landscape and Urban Planning. 80(3): 237-248.
4. Breiman, L.; Cutler, A.; Liaw, A.; Wiener, M. 2006. Breiman and Cutler's random forests for classification and regression. http://CRAN.R-project.org/ [R package version 4.5-16].
5. Creutzburg, M. K.; Halofsky, J.S.; Hemstrom, M.A. 2012. Using state-and-transition models to project cheatgrass and juniper invasion in southeastern Oregon sagebrush steppe. In: Kerns, B.K.; Shlisky, A.J.; Daniel, C.J. tech. eds. Proceedings of the First Landscape Stateand-Transition Simulation Modeling Conference, June 14-16, 2011, Portland, Oregon. Gen. Tech. Rep. PNWGTR-869. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 73-84.
6. Earth Systems Institute. 2012. NetMap. http://www. netmaptools.org/coverage. (12 March 2012).
7. ESSA Technologies. 2007. VDDT. http://essa.com/tools/ vddt/. (14 March 2012).
8. Forbis, T.A., Provencher, L.; et al. 2006. Great Basin land management planning using ecological modeling. Environmental Management. 38(1): 62-83.
9. Hemstrom, M.A., Merzenich, J. [et al.]. 2007. Integrated analysis of landscape management scenarios using state and transition models in the upper Grande Ronde River Subbasin, Oregon, USA. Landscape and Urban Planning. 80(3): 198-211.
10. Hann, W.J., Jones, J.L. [et al.]. 1997. Landscape dynamics of the basin. An assessment of ecosystem components in the Interior Columbia Basin and portions of the Klamath and Great Basins. T.M. Quigley and S.J. Arbelbide. Portland, OR, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 337-1055.
11. Holsinger, L., Keane, R.E.; [et al.]. (2006). Using historical simulations of vegetation to assess departure of current vegetation conditions across large landscapes. The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data for wildland fire management. Gen. Tech. Rep. RMRS-GTR-175. M.G. Rollins and C.K. Frame. Fort Collins, CO, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station: 315-366.
12. Institute for Natural Resources and Oregon State University Libraries. 2012. Western Landscapes Explorer. http://www.westernlandscapesexplorer.info/. (14 March 2012).
13. Kerns, B.K.; Hemstrom M.A.; Conklin D.; Yospin, G.; Johnson, B.; Bachelet, D.; Bridgham, S. 2012. Approaches to incorporating climate change effects in state and transition simulation models of vegetation. In: Kerns, B.K.; Shlisky, A.J.; Daniel, C.J. tech. eds. Proceedings of the First Landscape State-and-Transition Simulation Modeling Conference, June 14-16, 2011, Portland, Oregon. Gen. Tech. Rep. PNW-GTR-869. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 161-171.
14. LANDFIRE. 2012. LANDFIRE. http://www.landfire.gov/. (14 March 2012).
15. Merzenich, J.; Frid, L. 2005. Projecting landscape conditions in southern Utah using VDDT. Systems Analysis in Forest Resources: Proceedings of the 2003 Symposium Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 157-163.
16. Morzillo, A.T.; Halofsky, J.S.; DiMiceli, J.; Hemstrom, M.A. 2012. Balancing feasibility and precision of wildlife habitat analysis in planning for natural resources. In: Kerns, B.K.; Shlisky, A.J.; Daniel, C.J. tech. eds. Proceedings of the First Landscape State-and-Transition Simulation Modeling Conference, June 14-16, 2011, Portland, Oregon. Gen. Tech. Rep. PNW-GTR-869, Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 103-114.
17. MTBS. 2011. Monitoring Trends in Burn Severity. http:// www.mtbs.gov/. (14 March 2012)
18. Ohmann, J.; Gregory, M.J. 2002. Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forestry. 32: 725-741.
19. Reeves, M.C., Kost, J.R.; [et al.]. 2006. Fuels products of the LANDFIRE project. Fuels management-how to measure success: Conference Proceedings. 28-30 March, 2006, Portland, OR. Proceedings RMRS-P-41. P.L. Andrews and B.W. Butler. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station: 239-252.
20. Shlisky, A.; Vandendriesche, D. 2012. Use of stateand-transition simulation modeling in national forest planning in the Pacific Northwest, U.S.A. In: Kerns, B.K., Shlisky, A.J.; Daniel, C.J. tech. eds. Proceedings of the First Landscape State-and-Transition Simulation Modeling Conference, June 14-16, 2011, Portland, Oregon. Gen. Tech. Rep. PNW-GTR-869. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 23-41.
21. U.S. Department of Agriculture, Forest Service [USDA FS] 2012. Forest Inventory and Analysis National Program. http://fia.fs.fed.us. (12 March 2012).
22. U.S. Department of Agriculture, Forest Service [USDA FS] 2012. Fuel Reduction Cost Simulator. Portland, OR: Pacific Northwest Research Station. http://www.fs.fed.us/ pnw/data/frcs/frcs.shtml. (14 March 2012).
23. U.S. Department of Agriculture, Forest Service [USDA FS] 2012. Fire, Fuel, and Smoke Science Program. Missoula, MT: Rocky Mountain Research Station. http:// www.firelab.org/research-projects/fire-ecology/139-firebgc. (14 March 2012).
24. U.S. Geological Survey. 2012. Hydrologic Unit Maps. http://water.usgs.gov/GIS/huc.html. (12 March 2012).
25. Wales, B.C.; Suring, L.H. et al. 2007. Modeling potential outcomes of fire and fuel management scenarios on the structure of forested habitats in northeast Oregon, USA. Landscape and Urban Planning. 80(3): 223-236.
26. Weisz, R., Triepke, J. et al. 2009. Evaluating the ecological sustainability of a ponderosa pine ecosystem on the Kaibab Plateau in Northern Arizona, Fire Ecology. 5(1): 100-115.